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Ml Inference Jobs in Phoenix, AZ (NOW HIRING)

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... with ML researchers and engineers to seamlessly deploy new architectures into the production ... online inference. - Proficient in Python with a track record of writing high-quality, well ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

... with ML researchers and engineers to seamlessly deploy new architectures into the production ... online inference. - Proficient in Python with a track record of writing high-quality, well ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

Waabi

Senior / Staff ML Onboard Optimization Engineer

Phoenix, AZ · On-site +1

$141K - $249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... inference. - Comprehensively profile model runtime and memory to pinpoint performance bottlenecks. Qualifications: - MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in ...

Sun Life Financial

Principal Network Engineer

Phoenix, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... tailored for AI/ML workloads . * Demonstrated ability to configure and scale data-transfer ... inference deployments * Experience supporting and maintaining large-scale LAN/WAN environments

Sun Life Financial

Principal Network Engineer

Phoenix, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... tailored for AI/ML workloads . * Demonstrated ability to configure and scale data-transfer ... inference deployments * Experience supporting and maintaining large-scale LAN/WAN environments

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Showing results 21-40

All JobsMl Inference JobsMl Inference Jobs in Phoenix, AZ

Ml Inference information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do ml inference jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ml inference in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are popular job titles related to Ml Inference jobs in Phoenix, AZ?

For Ml Inference jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Ml Inference jobs in Phoenix, AZ look for?

The top searched job categories for Ml Inference jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Ml Inference jobs?

Cities near Phoenix, AZ with the most Ml Inference job openings:

Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Dev Ops System Administrator ,Scottsdale, Arizona, US, Full Time/Per (MK)

Central Business Solutions

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Bounty Description
Industry: Information Technology - Computer Software
Job Category: Information Technology - System Support
Clearance Requirements:
Department of Defense TS/SCI with Polygraph security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Put your engineering talent to the ultimate test. At General Dynamics Mission Systems, we create the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. The work we do is so advanced our teams often redefine what's possible for the world. If you want to be a leader with the company that delivers smart solutions for our nation's challenges, this is your opportunity.
We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers' missions in cyber, RF, undersea, interstellar and everything in between.
We are seeking a skilled AI DevOps System Administrator to build, manage, and optimize the infrastructure supporting our Artificial Intelligence and Machine Learning initiatives in a classified environment. The ideal candidate will be responsible for maintaining the CI/CD pipeline for ML models, managing GPU resources, and ensuring the stability, scalability, and security of the AI development and deployment environment. This role requires close collaboration with data scientists and ML engineers to streamline workflows from model development to production.
Key Responsibilities:
  • Design, implement, and maintain scalable and robust infrastructure for AI/ML model training and inference.
  • Develop and manage CI/CD pipelines for automated building, testing, and deployment of AI applications and machine learning models.
  • Administer and optimize Linux-based systems and virtualized environments.
  • Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to deploy and scale ML services.
  • Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform.
  • Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks.
  • Implement and maintain monitoring, logging, and alerting systems to ensure platform health and performance.
  • Collaborate with development teams to support their infrastructure needs and troubleshoot issues.

As a seasoned leader, you'll be involved with our client's decision-making process by serving as a front-line interface to users with technical issues and conducting systems analysis and development to keep systems current with changing technologies. Your duties may include installing new software, troubleshooting, granting permissions to applications and training users. You'll also be responsible for the day-to-day support of server services by performing server administration for physical and virtual server operating systems and configuring, maintaining and troubleshooting of physical and virtual hardware and network related interfaces on servers. We'll rely on you to perform, maintain, troubleshoot and conduct a complete analysis of alerts; create scripts to automate repetitive processes; and work with customers to identify, isolate, and resolve problems with servers that are affecting other services.
What you'll experience:
  • Technologies that aren't just top-notch, they're often top-secret
  • A team of bold thinkers committed to exploring what's next
  • Opportunities to gain new knowledge - as it's discovered

What you bring to the table:
  • A Bachelor's degree in Computer Science, a related field or equivalent experience plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience
  • Advanced understanding of server based operating systems
  • Strong Linux/Container/AI Skills
  • Subject matter expert (SME) with the ability to mentor others on administrating the server environment
  • Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies
  • Hands-on experience developing, deploying and supporting large-scale enterprise server solutions
  • Experience working with or familiarity with AI/ML models is preferred

What sets you apart:
  • Team player who thrives in collaborative environments and revels in team success
  • Broad understanding of the interrelationships within the IT environment with focus on server and services
  • Senior level knowledge of physical and virtual server support
  • Senior level knowledge of access, permissions and security that gives the clients the access to the data they need to perform their daily activities
  • Identifies opportunities to apply AI for continuous improvement and innovation

Skills and Certifications [note: bold skills and certification are required]
Linux
Docker
Kubernetes
AI/ML
Security Clearance Required: Yes
Visa Candidate Considered: No
Compensation
Base Salary - USD $126,000 to $138,000
*** Never repost ***
Full-time
Benefits - Full
Relocation Assistance Available - Yes
Commission Compensation - No
Bonus Eligible - No
Overtime Eligible - No
Interview Travel Reimbursed - No
Candidate Details
7+ to 10 years experience
Seniority Level - Mid-Senior
Management Experience Required - No
Minimum Education - Bachelor's Degree
Willingness to Travel - Occasionally
Screening Questions
Do you have experience with Linux?
Do you have experience with Docker, Kubernetes, etc.?
Work must be done onsite at our Scottsdale, AZ facility. Are you OK with this?
Do you have an active DoD TS/SCI with Poly clearance?
Ideal Candidate
Candidate needs to have an active Dept. of Defense TS/SCI with Poly clearance.There is no flex on this, cannot need reinstated or anything like that
Experience with Linux
Experience with Docker and/or Kubernetes
Work-Life Balance
  • Flexible schedules including a 9/80 option (every other Friday off)
  • Generous paid time off and parental leave
  • Employees consistently highlight low micromanagement and autonomy in their roles
  • Strong Benefits
  • 401(k) with 6% company match and immediate vesting
  • Comprehensive medical, dental, and vision insurance
  • Life and disability coverage
  • Tuition assistance for continued education

Meaningful, Impactful Work
  • A team of 12,000+ professionals engineering high-tech solutions across defense and scientific domains
  • Employees get to work on challenging projects that contribute to national security and scientific advancement

Collaborative Environment
  • Employees praise the supportive, collaborative culture - "Everyone helped each other in a time of need"
  • Strong community involvement and veteran support programs
Employee Loyalty
  • Average employee tenure of 12 years, which speaks to long-term satisfaction and retention
  • 4.0 out of 5 stars on Indeed in 2026

It's a combination of mission-driven work, strong compensation/benefits, genuine work-life balance, and a culture that values its people.
Central Business Solutions, Inc(A Certified Minority Owned Organization)
Checkout our excellent assessment tool: http://www.skillexam.com/
Checkout our job board : http://www.job-360.net/
Central Business Solutions, Inc
37600 Central Court Suite 214 Newark CA, 94560
Phone: (833)247-8800 Fax: (510)-740-3677
Web: http://www.cbsinfosys.com

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